In order to verify the effectiveness of our model, we conduct experiments on standard benchmark datasets considering both in-domain and out-domain settings. For in-domain setting, we use AIDA-CoNLL dataset [1]} for training, validation and testing.
For out-domain setting, we evaluate the model trained with AIDA-CoNLL on five popular out-domain test sets: MSNBC, AQUAINT, ACE 2004 datasets cleaned and updated by [2]} guo2018robust and WNED-CWEB (CWEB), WNED-WIKI (WIKI) automatically extracted from ClueWeb and Wikipedia [2]}.
Following previous work [4]}, we only consider in-KB mentions. Besides, our candidate generation strategy follows that of [4]} ganea2017deep to make our results comparable.
